scholarly journals Correlation, path coefficient analysis and heritability of grain yield components in pearl millet (Pennisetum glaucum (L.) R. Br.) parental lines

2015 ◽  
Vol 7 (2) ◽  
pp. 55-60 ◽  
Author(s):  
I E Ezeaku ◽  
I I Angarawai ◽  
S E Aladele ◽  
S G Mohammed
Keyword(s):  
Grain Yield ◽  
Pearl Millet ◽  
Yield Components ◽  
Pennisetum Glaucum ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Grain Yield Components ◽  
Parental Lines

scholarly journals Correlation and Path Coefficient Studies in F2 Populations of Rice

2012 ◽  
Vol 4 (2) ◽  
pp. 124-127 ◽  
Author(s):  
Ghaffar KIANI ◽  
Ghorbanali NEMATZADEH
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Selection Criteria ◽  
Stepwise Regression ◽  
Path Coefficient ◽  
Direct Effects ◽  
Panicle Length ◽  
Path Coefficient Analysis ◽  
Yield Variation ◽  
Rice Genotypes

This study performed to determine the association between grain yield and yield components in fifty-four selected rice genotypes at F2 populations. Results showed that traits, the panicles per plant (r = 0.751) and filled grains per panicle (r = 0.458) correlated significantly with grain yield, while grain yield was negatively associated with non-filled grains per panicle (-0.297). Path coefficient analysis revealed that grain yield was associated with panicles per plant and filled grains per panicle with the direct effects of 0.691 and 0.568, respectively. The greatest indirect effect belonged to panicle length (0.301) through filled grains per panicle. Stepwise regression analysis showed that 72.1 percent of yield variation could be explained by three characters: the panicles per plant, filled grains per panicle and panicle length. Information obtained in this study revealed that traits, the panicles per plant and filled grains per panicle, could be used as selection criteria for grain yield improvement at segregating populations of rice.

Character Association and Path Coefficient Analysis of Grain Yield and Yield Components Maize (Zea mays L.)

2003 ◽  
Vol 6 (2) ◽  
pp. 136-138 ◽  
Author(s):  
Muhammad Bashir Alvi ◽  
Muhammad Rafique . ◽  
Muhammad Shafique Ta . ◽  
Amer Hussain . ◽  
Tariq Mahmood . ◽  
...  
Keyword(s):  
Zea Mays ◽  
Grain Yield ◽  
Yield Components ◽  
Zea Mays L ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Character Association ◽  
Yield And Yield Components

scholarly journals Performance of Different Pearl Millet Genotypes under Irrigated Conditions

2014 ◽  
Vol 3 (3) ◽  
pp. 154-163
Author(s):  
Jamal Ishaq ◽  
Silvestro Meseka
Keyword(s):  
Grain Yield ◽  
Pearl Millet ◽  
Yield Components ◽  
Pennisetum Glaucum ◽  
Block Design ◽  
Broad Sense Heritability ◽  
Panicle Length ◽  
Randomized Complete Block Design ◽  
Head Weight ◽  
Coefficient Of Variability

Thirty four genotypes of pearl millet( Pennisetum glaucum (L.) R. Br) were evaluated at Sudan. Including two released varieties, Ugandi and Ashana at Gezira Research Farm (GRF) and Rahad Research Farm(RRS) in the autumn of 2009. The experiment was arranged in randomized complete block design with three replications. Grain yield and some yield components including number of productive tillers and panicle length, varied significantly among the thirty four genotypes. Mean of grain yield for all genotypes across sites was 1.3 t/ ha-1. Sadag Togo had the highest grain yield (1.7 ha-1) followed by Okashana-3 (1.6 t/ha-1), while IP 19745 had lowest grain yield (0.8 t/ha-1) across tow site.Okashana-3 out yielded the best than check (Ashana). The combined Result for Genotypic coefficient of variability and broad sense heritability estimates grain yield and head weight varied significantly among the thirty four genotypes. DOI: http://dx.doi.org/10.3126/ije.v3i3.11075 International Journal of Environment Vol.3(3) 2014: 154-163

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